Fig. 1From: Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERpAn illustration of the CDFs discussed. The graph illustrates the distributions of the variables \( W \) and \( X \) using a standard log-normal CDF to depict the positive part of \( H(x) \), represented by the blue line, with \( {\pi}^{*} \) set to 0.1. The assumptions on \( H(x) \) imply that \( G(x) \), represented by the green line, is continuous and increasing over \( x>\delta \) with \( \delta \) set to 0.5. For \( x\le \delta \), \( F(x)=\pi \) which is equal to 0.32 in this illustration, represented by the pink line. For \( x>\delta \), \( F(x)= H(x) \), but their graphs were slightly shifted for clarityBack to article page